Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Diego, Vidaurre"'
Autor:
Chiara Rossi, Diego Vidaurre, Lars Costers, Marie B. D’hooghe, Fahimeh Akbarian, Miguel D’haeseleer, Mark Woolrich, Guy Nagels, Jeroen Van Schependom
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract In multiple sclerosis (MS), working memory (WM) impairment can occur soon after disease onset and significantly affects the patient’s quality of life. Functional imaging research in MS aims to investigate the neurophysiological underpinnin
Externí odkaz:
https://doaj.org/article/68fb6a00413d45cfb0f696e87e916407
Autor:
Chiara Rossi, Diego Vidaurre, Lars Costers, Fahimeh Akbarian, Mark Woolrich, Guy Nagels, Jeroen Van Schependom
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-12 (2023)
Abstract The brain dynamics underlying working memory (WM) unroll via transient frequency-specific large-scale brain networks. This multidimensionality (time, space, and frequency) challenges traditional analyses. Through an unsupervised technique, t
Externí odkaz:
https://doaj.org/article/65b5506cd0094f1b91869869649345f6
Autor:
Chetan Gohil, Rukuang Huang, Evan Roberts, Mats WJ van Es, Andrew J Quinn, Diego Vidaurre, Mark W Woolrich
Publikováno v:
eLife, Vol 12 (2024)
Neural activity contains rich spatiotemporal structure that corresponds to cognition. This includes oscillatory bursting and dynamic activity that span across networks of brain regions, all of which can occur on timescales of tens of milliseconds. Wh
Externí odkaz:
https://doaj.org/article/6c9af0b201cb4325b9403f45e88f6b41
Autor:
Diego Vidaurre
Publikováno v:
eLife, Vol 12 (2024)
Each brain response to a stimulus is, to a large extent, unique. However this variability, our perceptual experience feels stable. Standard decoding models, which utilise information across several areas to tap into stimuli representation and process
Externí odkaz:
https://doaj.org/article/1023a338900740b39575753ea15f60bc
Toward stability of dynamic FC estimates in neuroimaging and electrophysiology: Solutions and limits
Autor:
Sonsoles Alonso, Diego Vidaurre
Publikováno v:
Harvard Data Science Review, Vol 7, Iss 4 (2023)
Externí odkaz:
https://doaj.org/article/639f8a000b5e4c63bb8ef65d6f636a70
Autor:
Diego Vidaurre
Publikováno v:
NeuroImage, Vol 275, Iss , Pp 120169- (2023)
This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause.The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/policies/articl
Externí odkaz:
https://doaj.org/article/cf1b84ba22bf4b97a316c31f416110bd
Publikováno v:
NeuroImage, Vol 260, Iss , Pp 119462- (2022)
Decoding of high temporal resolution, stimulus-evoked neurophysiological data is increasingly used to test theories about how the brain processes information. However, a fundamental relationship between the frequency spectra of the neural signal and
Externí odkaz:
https://doaj.org/article/83e0bafe7bf94a15bac65db255848c6c
Autor:
Piergiorgio Salvan, Alberto Lazari, Diego Vidaurre, Francesca Mandino, Heidi Johansen-Berg, Joanes Grandjean
Publikováno v:
Cell Reports, Vol 37, Iss 5, Pp 109954- (2021)
Summary: Human neuroimaging studies have shown that, during cognitive processing, the brain undergoes dynamic transitions between multiple, frequency-tuned states of activity. Although different states may emerge from distinct sources of neural activ
Externí odkaz:
https://doaj.org/article/cfd6b62dab5f4bfa9ff42af2336798d0
Publikováno v:
eLife, Vol 10 (2021)
Pathological oscillations including elevated beta activity in the subthalamic nucleus (STN) and between STN and cortical areas are a hallmark of neural activity in Parkinson’s disease (PD). Oscillations also play an important role in normal physiol
Externí odkaz:
https://doaj.org/article/da83ac09d8934c9abbd2d4f946063556
Autor:
Diego Vidaurre
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 4, p e1008580 (2021)
An important question in neuroscience is whether or not we can interpret spontaneous variations in the pattern of correlation between brain areas, which we refer to as functional connectivity or FC, as an index of dynamic neuronal communication in fM
Externí odkaz:
https://doaj.org/article/d44909cb7001475b86fa089ad87a7572